Triple

T23500490
Position Surface form Disambiguated ID Type / Status
Subject Carol Anne Freeling E571824 entity
Predicate familyName P18 FINISHED
Object Freeling NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Freeling | Statement: [Carol Anne Freeling, familyName, Freeling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freeling
Context triple: [Carol Anne Freeling, familyName, Freeling]
  • A. Freeling chosen
    Freeling is the surname of Diane Freeling, the mother character in the "Poltergeist" horror film series.
  • B. Lemore
    Lemore is a mysterious septa and companion to the exiled prince known as Young Griff in George R. R. Martin’s A Song of Ice and Fire series.
  • C. Goushill
    Goushill is an English surname historically associated with medieval nobility and landed families.
  • D. Maberly
    Maberly is an English surname most notably associated with actress Polly Maberly, known for her work in British television and film.
  • E. Sioule
    The Sioule is a river in central France that flows through the Auvergne region before joining the Allier River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a8fc37908190af86a01ab85737d6 completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:06 p.m.